100 thoughts to “Statistics 101: Understanding Correlation”

  1. 10:00 , Dog behavior and moon cycles are totally related. Just like DV 911 calls and moon cycles, and births and moon cycles.

  2. Fabulous video, I now no need to look any other video as I understood both the topics clearly. Many thanks. #superlike

  3. I've been watching tons of your videos lately since I'm preparing for my statistics final… Your videos and examples make it a lot more fun than I expected it to be! Thank you for dedicating so much time and thought to these, it's incredibly appreciated. The encouragement at the beginning of each video always keeps me going 🙂

  4. Seriously, please don't stop making these videos. I know this came out in like 2013 but seriously, thank you thank you thank you.

  5. In the first year of master. multiple statistic and linear regression make me crazy…Thank god let me find your video! thank you!

  6. you have such a natural knack for teaching, I swear I learn more from you in 27 min then I have from my prof all semester! Seriously god bless x

  7. Thank you so much. Your videos and encouragement are simply amazing. Year one of the journey started with statistics 😔

  8. I'm taking a masters degree in Data Science and Big Data, I have a Computer Science background, and there are terms or concepts that were long forgotten and I'm struggling with everything related to statistics. I just found your videos and I've watched so far a couple of them. I cannot thank you enough for putting all this together and giving me the foundation I needed to continue with my masters. I appreciate you take the time for sharing your knowledge with this community and your positive words make a real impact.

  9. I studied medicine and we didn't have much statistics. Now I'm doing my PhD and it's really difficult for me.. but your videos help me a lot! thanks 🙂

  10. Nice videos thanks alot. also, under the slide ‘Correlation Caveats’ point number 4, could you explain why a high r value of lets say 0.9 does not mean it is statistically significant? or do u have the explanation in another video? thanks again!!


  12. The formula that I learned in my classes for r is r=Sxy/srqt (Sxx Sxy) but in your formula there is no square root. Also the formula for Sxy=sigma (xi-xbar)(yi-ybar). so it doesn't have n-1 for the denominator. Could you explain please?

  13. Brandon, please explain me, what does it mean by strength in correlation. What kind of strength does the correlation explain? Please help me to clear this doubt.

  14. Hi Brandon, I was wondering if there are PowerPoints available for download? I would like to take notes while listening to your lectures.

  15. Hi Sir,

    With all due respect, let me thank you for having cleared confusions of my mind on the terms: Covariance, correlation. Please do create such videos with more topics and help us. May the god bless you for your good deed.

    Thank you,
    Maneesh Mohan.

  16. This is the 5th video I have watched. I really admire the simplicity of teaching these topics.

  17. Brandon Foltz I have no words for describing your work., A Big Thank you and gratitude for your all work.

  18. THANK YOU SO MUCH FOR THE PEP TALK AT THE BEGINNING. You are so kind. I seriously was thinking of dropping this class… but you know what? I have faith in me!

  19. you do it really well!! thank you, your set of videos on variance covariance and correlation have so far cleared my understanding the most, providing everything from definition to inutition to examples and the notion to look at scatter plots first. Thank you very much for making! 🙂

  20. AH, By the way. One more suggestion! Why don't you prepare some videos with a good amount of exercises so we can practice? I could grab the tables, values etc. and practice inside python, excel, HP 12C by hand. It would be an excelent way to verify the results. And your audience could use the coment space to help each other. I belive that the best way to learn something is to actually teach this "something"

    Thanks again for your patience!

  21. Dear Sir, can you please mention the order of learning statistics from fundamentals to advanced level. This is only to understand statistics properly. Hope you will find a bit of time indicate the order of learning. I am sure most of my colleagues watching your videos will love to learn from you in proper order.. Thanks in advance sir…..

  22. Hi Brandon, the videos are very clear and understanding. Could you please list the names of Statistic books for references.

  23. Nice video, but your dog barking example is not right. The moon does seem to cause the dog to bark. A better example of correlation and not causation would be maple leaves and oak leaves. Both bloom and fall around the same time, but maple trees do not cause oak trees to bloom, the winter does.

  24. I was struggling with the concepts of covariance and correlation, reading textbooks and papers where they just assume you knew, but now that I saw your last three videos of this list I can finally get them and move on to other material. Thank you!

  25. Could you possible recommend one or two books providing a more detailedadvanced treatment of correlation? Pitfalls, proper usage, etc. I am mainly interested in usage, not underlying mathematical proofs. I will trust the mathematicians that correlation does what they say it does. I want to use it to good effect without inadvertently performing a fundamentally flawed analysis. I found: Correlation, by Peter Y Chen. Any other recommendations would be greatly appreciated. Thank you.

  26. Aw I have an exam tomorrow that’s really been giving me such anxiety and I almost cried during your introductory pep talk. Thank you for your content! This is my second video of yours I’m watching and I’m starting to feel more comfortable with correlation and residuals.

  27. How can I calculate Pearsons correlation coeff. between a prior year value (e.g. tree-ring growth) with current year variable (e.g. climate variable, like temperature)?

  28. A Udemy Python Programming for Data Analysis and Visualization course sent me here! I think I will have to watch all your videos now!

    PS – Explanation was wonderful, I think if I can understand (I am a Biochemistry Major with very less/no math experience) it, then anyone can!

  29. Thank you so much. Thanks to your explanation, I got a better understanding of what my professor failed to explain well. And also thank you for your encouragement!

  30. You’re comment at the beginning like the pep talks just made my whole day , I had such much test anxiety and hearing that is exactly what I needed. You’re the best! Thank you for making a positive impact ! I’m going to ace my test now

  31. How bad must the education system be that a 27m video on youtube explains the topic better than 3 hours lecturing. God the education system is bad and teachers are absolutely the worst. For me youtube is the best invention which ever existed. Before youtube, I was very bad at school since I could not follow the lecturer in classroom, now I am completing my masters degree and guess what, I learned 99% of the curriculum by watching youtube videos.

    It is so embarassing when a 2 minute video about Induction (Calculus) better explains the topic than a 3 hour lecture in calculus class. The whole education system is filled with bad teachers. You can only find good teachers when working as employee in a good company.

  32. Hello, it could be more helpful if you can explain how the formula comes from because it will increase the basic understanding of this course. Thank you

  33. Hi Brandon, your tutorials are exemplary and extremely useful. I sincerely thank you for that. Do you have any videos explaining on how to compare two measurement methods and the acceptance criteria to replace one method over other? I appreciate if you could help me on this.

  34. Thank you for thorough explanation of correlation. You emphasize that first of all it should be proved that a relationship is linear before trying to measure the correlation. Can a relationship be proved as linear if its correlation is strong? Can we detect linearity just with correlation?

  35. Only wolf howl at the moon ..dogs bark.. Cuz the causation hypothesis theorem we are from dog..its a dogmatic world
    Stuck need R

  36. Oh thank you your video IDid u see the Harvest moon so beautiful .. I bark . like the viscous poodle.. I find ur video very well organized ..excellent your gunna help me pass . your the best ..

  37. Help me.. I'm stuck here..so despise letters in math don't belong only numbers shall be manipulated by cycle of solar
    Sun moon rise and sets.. Were expanding were flat.. Your only spinning because you drank too much wine.. Was that white yummy..

  38. At 16:50, which covariance do we need to use? The Population Covariance or the Sample Covariance? My hunch is that we would need to use the Population Covariance in order to maintain the [-1,1] range for Pearson Correlation value.

  39. At 23:30, there is discussion of the "rule of thumb" to declare if a relationship exists. Is there are limit to the value of n for this rule to apply? As the size of the sample becomes very large, this rule would imply that the variables could be said to be related even when the magnitude of the correlation coefficient is small.

  40. Thank for the great lesson.
    Regarding the relationship rule of thumb, if I have 1000,000 samples,
    Is r=0.002 enough to say exist relationship?

Leave a Reply

Your email address will not be published. Required fields are marked *